Taking China's intelligent connected vehicle industry as the research object, based on the intelligent connected vehicle industry cooperation application for invention patent data from 1985 to 2021, using social network analysis method to build a patent cooperation network, from the network density, average length, centrality and other indicators to intelligent network Measure and analyze the evolution of the patent cooperation network of intelligent connected vehicle industry. The research found that: the overall innovation efficiency of China’s intelligent connected vehicle industry patent cooperation network is not high, there is no large core group, and the cooperation is relatively loose; the scale of patent cooperation network continues to expand, but the network density continues to decline, and the patent cooperation between innovative entities There is still a lot of room for development; innovative entities such as Tsinghua University, the Institute of Automation of Shandong Academy of Sciences, Chongqing Jiaotong University, and Toyota Motor are in key positions of information flow in the network; the patent layout in key technical fields is relatively small. In this regard, it is recommended that the government formulate guiding policies to encourage industrial research and development; encourage innovative entities to expand the breadth and depth of cooperation; give full play to the key and core role of universities in there search and development process of cooperation, and optimize the mode of industry-university-research cooperation; strengthen the

layout of key technologies such as cloud platform big data to jointly promote the development of the intelligent connected vehicle industry.